Director | MLOps Specialist | AWS Cloud

- Excellent opportunity
- Fast track growth
About Our Client
Our client is a renowned name in the insurance space.
Job Description
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12+ years in software engineering, DevOps, or ML Engineering with a focus on cloud-based ML pipelines
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Strong experience with Amazon Web Services (AWS), especially:
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Amazon SageMaker (training, deployment, Pipelines, Model Monitor)
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S3, Lambda, Step Functions, CodePipeline, ECR, CloudWatch
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Proficiency in Python, Bash, and scripting for automation
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Familiarity with CI/CD tools like Jenkins, GitHub Actions, CodeBuild, etc.
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Experience with Docker and container orchestration in AWS (e.g., ECS, EKS optional)
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Understanding of ML lifecycle, including feature engineering, training, deployment, and monitoring
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Experience with data versioning and model tracking tools (e.g., MLflow, DVC, SageMaker Model Registry)
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Excellent communication and collaboration skills
The Successful App...